Osmotic properties of aqueous solutions of NaCl and KCl [11, 40].
\r\n\tVarious biotic (pests, pathogens) and abiotic (soil compaction, drought, salinity, waterlogging, heavy metals, poor nutrition, etc.) stresses are a big cause of low crops productivity around the globe. Drought stress is very common in worldwide arid and semi-arid areas. Moreover, climate change is going to create the worst situation in this regard. The demand for irrigation water is expected to increase by 10% up to 2050. Under drought stress, the growth and yield of crops are usually decreased due to less intake of nutrients, poor photosynthesis, and a limited supply of water. In addition, drought accelerates the biosynthesis of ethylene10,11 which retards the roots elongation and development. Climate-smart agriculture (CSA) is an approach that helps to guide actions needed to transform and reorient agricultural systems to effectively support the development and ensure food security in a changing climate. CSA aims to tackle three main objectives: sustainably increasing agricultural productivity and incomes; adapting and building resilience to climate change; and reducing and/or removing greenhouse gas emissions, where possible. The use of nanotechnology and AI is opening a new evolutionary era through the replacement of conventional materials and energy-based crops production. Advancements in the management of fertilizers and pesticides by using nanomaterials and sensors are gaining attention. Research is going on short-term impacts of nanoparticles and utilization of computational tools for better crops production. However, the need of the time is to investigate the long-term effects of artificial intelligence and nanomaterials application as well at a large scale.
\r\n\r\n\tThis book will cover the potentials of nanomaterials, existing prediction models, computational tools, and sensors in climate-smart agriculture for the alleviation of drought stress.
",isbn:"978-1-80356-690-0",printIsbn:"978-1-80356-689-4",pdfIsbn:"978-1-80356-691-7",doi:null,price:0,priceEur:0,priceUsd:0,slug:null,numberOfPages:0,isOpenForSubmission:!0,isSalesforceBook:!1,isNomenclature:!1,hash:"fbed803d36e40c6040464c8006736a52",bookSignature:"Dr. Subhan Danish, Dr. Hakoomat Ali and Dr. Rahul Datta",publishedDate:null,coverURL:"https://cdn.intechopen.com/books/images_new/11791.jpg",keywords:"Artificial Intelligence, Nanotechnology, Biofertilizers, Biochar, Nutrients Management, Irrigation Management, Sensors, Nano Fertilizers, Irrigation Scheduling, Integrated Soil Management, Water Use Efficiency, Nanoparticles",numberOfDownloads:null,numberOfWosCitations:0,numberOfCrossrefCitations:null,numberOfDimensionsCitations:null,numberOfTotalCitations:null,isAvailableForWebshopOrdering:!0,dateEndFirstStepPublish:"March 23rd 2022",dateEndSecondStepPublish:"May 25th 2022",dateEndThirdStepPublish:"July 24th 2022",dateEndFourthStepPublish:"October 12th 2022",dateEndFifthStepPublish:"December 11th 2022",dateConfirmationOfParticipation:null,remainingDaysToSecondStep:"2 days",secondStepPassed:!0,areRegistrationsClosed:!1,currentStepOfPublishingProcess:3,editedByType:null,kuFlag:!1,biosketch:"My field of expertise includes drought stress mitigation in crops by using biochar and rhizobacteria with an emerging interest in nanotechnology and artificial intelligence.",coeditorOneBiosketch:"Dr. Hakoomat Ali received his Ph.D. from the University of Wales, Aberystwyth, UK. is a Professor of Agronomy and currently is Dean Faculty of Agricultural Sciences and Technology, Bahauddin Zakariya University, Pakistan. His current work is focused on nutrient management of arable crops and is working to devise production technologies for different crops.",coeditorTwoBiosketch:"Dr. Rahul Datta is an Assistant Professor in the field of Soil Science. His research has focused largely on increasing crop productivity using “green” and sustainable methods.",coeditorThreeBiosketch:null,coeditorFourBiosketch:null,coeditorFiveBiosketch:null,editors:[{id:"452655",title:"Dr.",name:"Subhan",middleName:null,surname:"Danish",slug:"subhan-danish",fullName:"Subhan Danish",profilePictureURL:"https://mts.intechopen.com/storage/users/452655/images/system/452655.png",biography:"Dr. Subhan Danish has a bachelor’s degree in Agriculture, and master’s and doctorate degrees in Agriculture (Soil Science). He is currently teaching at Bahauddin Zakariya University and Mendel University in Brno as a guest lecturer. He teaches at the undergraduate and graduate levels, focusing on soil science and plant nutrition. His current research interests include soil science and plant nutrition, abiotic stress alleviation, nanoparticles in agriculture, and climate-smart agriculture with artificial intelligence. His papers were published in a variety of peer-reviewed journals (e.g., Scientific Report, Journal of Environmental Management, Science of the Total Environment, Cleaner Production, Chemosphere, etc). He is acting as a reviewer for several international journals such as Archives of Agronomy and Soil Science, Environmental Science and Pollution Research, Journal of Environmental Management, Remote Sensing, Scientific Report, Environmental Technology & Innovation and Frontiers in Plant Science. His work has been cited more than 1800 times by researchers from all over the world. He reviewed over 100 papers in peer-reviewed journals and published around 150 articles in peer-reviewed journals.",institutionString:"Mendel University Brno",position:null,outsideEditionCount:0,totalCites:0,totalAuthoredChapters:"0",totalChapterViews:"0",totalEditedBooks:"0",institution:{name:"Mendel University Brno",institutionURL:null,country:{name:"Czech Republic"}}}],coeditorOne:{id:"452864",title:"Dr.",name:"Hakoomat",middleName:null,surname:"Ali",slug:"hakoomat-ali",fullName:"Hakoomat Ali",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0033Y00003NA55HQAT/Profile_Picture_2022-03-03T07:41:50.jpg",biography:"Dr. Hakoomat Ali is a Professor of Agronomy and currently is Dean Faculty of Agricultural Sciences and Technology, Bahauddin Zakariya University, Multan, Pakistan. He received his Ph.D. in “Crop Nutrition and Physiology” from the University of Wales, Aberystwyth, UK. He was the recipient of the Merit Scholarship for Ph.D., abroad from the Ministry of Education, Islamabad, Pakistan (1994). He also got National Best Teacher Award from Higher Education Commission, Islamabad for the year 2014. His current work is focused on nutrient management of arable crops and is working to devise production technologies of different crops, especially during the present era of climate change in the world. He has established an advanced Crop Nutrition Laboratory at the Department of Agronomy, Bahauddin Zakariya University, Multan. He has published about 127 articles in peer-reviewed journals and many are in streamlined and written 4 book chapters. According to Scopus®, his publications have received roughly 1300 citations with an h-index of 23 and i10 index of 37. He is editor in chief of “Journal of Arable Crops and Marketing” published by escience press. He is an editor and reviewer for more than 100 peer-reviewed international journals. He has been honored by different authorities for his outstanding performance in different fields like research and education and has received the Research Productivity Award during 2011 and 2014 from Higher Education Commission, Pakistan. He has produced more than 100 M.Phil. and Ph.D. Scholars under his supervision. He has won various Research Projects worth Several Million from National and International Funding Agencies. He has completed about 22 Research Projects and 04 Projects are ongoing.",institutionString:"Bahauddin Zakariya University",position:null,outsideEditionCount:0,totalCites:0,totalAuthoredChapters:"0",totalChapterViews:"0",totalEditedBooks:"0",institution:{name:"Bahauddin Zakariya University",institutionURL:null,country:{name:"Pakistan"}}},coeditorTwo:{id:"313525",title:"Dr.",name:"Rahul",middleName:null,surname:"Datta",slug:"rahul-datta",fullName:"Rahul Datta",profilePictureURL:"https://mts.intechopen.com/storage/users/313525/images/system/313525.jpg",biography:"Dr. Rahul Datta is a soil microbiologist and enzymologist. He obtained an MSc and Ph.D. from the Department of Geology and Pedology, Mendel University, Brno, Czech Republic, where he is currently a researcher. Dr. Datta’s research focuses on understanding the effect of biogenic and xenobiotic substances on microbial metabolism in the soil. During his career, Dr. Datta has acquired global experience in soil science research by working with renowned scientists. He worked as a visiting scientist with Dr. Richard Dick at Ohio State University, Ohio, USA, and Prof. Paolo Nannipieri at the University of Florence, Italy. Dr. Datta has published numerous research articles and books and has reviewed 200 papers in peer-reviewed journals. He is currently a reviewer for fifty-eight major scientific journals. Dr. Datta is an editorial board member of Open Agriculture and is hosting a special issue of the Journal of Agriculture and Sustainability. He is also a current member of the Soil Science Society of America.",institutionString:"Mendel University Brno",position:null,outsideEditionCount:0,totalCites:0,totalAuthoredChapters:"2",totalChapterViews:"0",totalEditedBooks:"0",institution:{name:"Mendel University Brno",institutionURL:null,country:{name:"Czech Republic"}}},coeditorThree:null,coeditorFour:null,coeditorFive:null,topics:[{id:"5",title:"Agricultural and Biological Sciences",slug:"agricultural-and-biological-sciences"}],chapters:null,productType:{id:"1",title:"Edited Volume",chapterContentType:"chapter",authoredCaption:"Edited by"},personalPublishingAssistant:{id:"247041",firstName:"Dolores",lastName:"Kuzelj",middleName:null,title:"Ms.",imageUrl:"https://mts.intechopen.com/storage/users/247041/images/7108_n.jpg",email:"dolores@intechopen.com",biography:"As an Author Service Manager my responsibilities include monitoring and facilitating all publishing activities for authors and editors. From chapter submission and review, to approval and revision, copyediting and design, until final publication, I work closely with authors and editors to ensure a simple and easy publishing process. I maintain constant and effective communication with authors, editors and reviewers, which allows for a level of personal support that enables contributors to fully commit and concentrate on the chapters they are writing, editing, or reviewing. I assist authors in the preparation of their full chapter submissions and track important deadlines and ensure they are met. I help to coordinate internal processes such as linguistic review, and monitor the technical aspects of the process. As an ASM I am also involved in the acquisition of editors. Whether that be identifying an exceptional author and proposing an editorship collaboration, or contacting researchers who would like the opportunity to work with IntechOpen, I establish and help manage author and editor acquisition and contact."}},relatedBooks:[{type:"book",id:"6418",title:"Hyperspectral Imaging in Agriculture, Food and Environment",subtitle:null,isOpenForSubmission:!1,hash:"9005c36534a5dc065577a011aea13d4d",slug:"hyperspectral-imaging-in-agriculture-food-and-environment",bookSignature:"Alejandro Isabel Luna Maldonado, Humberto Rodríguez Fuentes and Juan Antonio Vidales Contreras",coverURL:"https://cdn.intechopen.com/books/images_new/6418.jpg",editedByType:"Edited by",editors:[{id:"105774",title:"Prof.",name:"Alejandro Isabel",surname:"Luna Maldonado",slug:"alejandro-isabel-luna-maldonado",fullName:"Alejandro Isabel Luna Maldonado"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"10359",title:"Landraces",subtitle:"Traditional Variety and Natural Breed",isOpenForSubmission:!1,hash:"0600836fb2c422f7b624363d1e854f68",slug:"landraces-traditional-variety-and-natural-breed",bookSignature:"Amr Elkelish",coverURL:"https://cdn.intechopen.com/books/images_new/10359.jpg",editedByType:"Edited by",editors:[{id:"231337",title:"Dr.",name:"Amr",surname:"Elkelish",slug:"amr-elkelish",fullName:"Amr Elkelish"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"1591",title:"Infrared Spectroscopy",subtitle:"Materials Science, Engineering and Technology",isOpenForSubmission:!1,hash:"99b4b7b71a8caeb693ed762b40b017f4",slug:"infrared-spectroscopy-materials-science-engineering-and-technology",bookSignature:"Theophile Theophanides",coverURL:"https://cdn.intechopen.com/books/images_new/1591.jpg",editedByType:"Edited by",editors:[{id:"37194",title:"Dr.",name:"Theophile",surname:"Theophanides",slug:"theophile-theophanides",fullName:"Theophile Theophanides"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"3161",title:"Frontiers in Guided Wave Optics and Optoelectronics",subtitle:null,isOpenForSubmission:!1,hash:"deb44e9c99f82bbce1083abea743146c",slug:"frontiers-in-guided-wave-optics-and-optoelectronics",bookSignature:"Bishnu Pal",coverURL:"https://cdn.intechopen.com/books/images_new/3161.jpg",editedByType:"Edited by",editors:[{id:"4782",title:"Prof.",name:"Bishnu",surname:"Pal",slug:"bishnu-pal",fullName:"Bishnu Pal"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"3092",title:"Anopheles mosquitoes",subtitle:"New insights into malaria vectors",isOpenForSubmission:!1,hash:"c9e622485316d5e296288bf24d2b0d64",slug:"anopheles-mosquitoes-new-insights-into-malaria-vectors",bookSignature:"Sylvie Manguin",coverURL:"https://cdn.intechopen.com/books/images_new/3092.jpg",editedByType:"Edited by",editors:[{id:"50017",title:"Prof.",name:"Sylvie",surname:"Manguin",slug:"sylvie-manguin",fullName:"Sylvie Manguin"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"371",title:"Abiotic Stress in Plants",subtitle:"Mechanisms and Adaptations",isOpenForSubmission:!1,hash:"588466f487e307619849d72389178a74",slug:"abiotic-stress-in-plants-mechanisms-and-adaptations",bookSignature:"Arun Shanker and B. Venkateswarlu",coverURL:"https://cdn.intechopen.com/books/images_new/371.jpg",editedByType:"Edited by",editors:[{id:"58592",title:"Dr.",name:"Arun",surname:"Shanker",slug:"arun-shanker",fullName:"Arun Shanker"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"72",title:"Ionic Liquids",subtitle:"Theory, Properties, New Approaches",isOpenForSubmission:!1,hash:"d94ffa3cfa10505e3b1d676d46fcd3f5",slug:"ionic-liquids-theory-properties-new-approaches",bookSignature:"Alexander Kokorin",coverURL:"https://cdn.intechopen.com/books/images_new/72.jpg",editedByType:"Edited by",editors:[{id:"19816",title:"Prof.",name:"Alexander",surname:"Kokorin",slug:"alexander-kokorin",fullName:"Alexander Kokorin"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"314",title:"Regenerative Medicine and Tissue Engineering",subtitle:"Cells and Biomaterials",isOpenForSubmission:!1,hash:"bb67e80e480c86bb8315458012d65686",slug:"regenerative-medicine-and-tissue-engineering-cells-and-biomaterials",bookSignature:"Daniel Eberli",coverURL:"https://cdn.intechopen.com/books/images_new/314.jpg",editedByType:"Edited by",editors:[{id:"6495",title:"Dr.",name:"Daniel",surname:"Eberli",slug:"daniel-eberli",fullName:"Daniel Eberli"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"57",title:"Physics and Applications of Graphene",subtitle:"Experiments",isOpenForSubmission:!1,hash:"0e6622a71cf4f02f45bfdd5691e1189a",slug:"physics-and-applications-of-graphene-experiments",bookSignature:"Sergey Mikhailov",coverURL:"https://cdn.intechopen.com/books/images_new/57.jpg",editedByType:"Edited by",editors:[{id:"16042",title:"Dr.",name:"Sergey",surname:"Mikhailov",slug:"sergey-mikhailov",fullName:"Sergey Mikhailov"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"1373",title:"Ionic Liquids",subtitle:"Applications and Perspectives",isOpenForSubmission:!1,hash:"5e9ae5ae9167cde4b344e499a792c41c",slug:"ionic-liquids-applications-and-perspectives",bookSignature:"Alexander Kokorin",coverURL:"https://cdn.intechopen.com/books/images_new/1373.jpg",editedByType:"Edited by",editors:[{id:"19816",title:"Prof.",name:"Alexander",surname:"Kokorin",slug:"alexander-kokorin",fullName:"Alexander Kokorin"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}}]},chapter:{item:{type:"chapter",id:"58198",title:"Nonideal Solution Behavior in Forward Osmosis Processes Using Magnetic Nanoparticles",doi:"10.5772/intechopen.72474",slug:"nonideal-solution-behavior-in-forward-osmosis-processes-using-magnetic-nanoparticles",body:'\nForward osmosis (FO) exploits the natural osmotic pressure gradient between two fluids separated by a semi-permeable membrane to induce the net transport of solvent from a solution of lower osmotic pressure to that of higher osmotic pressure. The FO process appears to provide a low-energy, low-cost alternative to more conventional membrane-based separation methods and offers a myriad of potential applications in industries as diverse as desalination, oil and gas, and food processing [1, 2]. Despite advances made in FO during the past decade, several challenges must still be overcome before more widespread relevance of the technology can be realized [3]. Recently, Shaffer et al. [4] provided a thermodynamic argument showing that FO-reverse osmosis (RO) desalination schemes cannot provide energy savings when compared to standalone RO. Although FO technology has been applied to a variety of water treatment strategies, draw solute inadequacies restrict its wider application [5, 6]. Mitigation of these inadequacies requires identification of draw solutions that achieve high osmotic pressure while minimizing reverse solute flux and also providing ease of recovery; the need for osmotic agents that allow for facile, inexpensive recovery remains paramount [7].
\nDuring the past decade, researchers have primarily focused their efforts in two areas, FO membrane production and draw solute identification. While considerable progress has been made toward the development of inexpensive and more robust membranes [8, 9], few commercially viable osmotic agents have been identified [10]. Desirable properties of the ideal osmotic agent are that it be nontoxic, inexpensive, stable, and highly water-soluble. In addition, the agent should have limited reverse draw solute flux, reduce internal concentration polarization (ICP), and be easily recoverable. Some osmotic agents and recovery schemes investigated to date include using inorganic salts with recovery by RO [11]; using poly(sodium acrylate) with recovery by ultrafiltration (UF) [12]; using thermoresponsive chitosan derivatives with recovery by aggregation at elevated temperature [13]; using ammonia-carbon dioxide with recovery by thermal separation [14]; using poly(N-isopropylacrylamide-co-acrylic acid) with recovery by heating and centrifugation [15]; using surfactants with recovery by UF [16]; and, using polyelectrolyte-based hydrogels with recovery by elevated temperature and pressure [17]. A critical review of what the authors term non-responsive and responsive draw solutes was recently provided by Cai and Hu [7].
\nBecause they meet several of the aforementioned criteria, low reverse draw flux and easy recovery in particular, functionalized magnetic nanoparticles (MNPs) have garnered much attention as potential osmotic agents [18]. These MNPs typically incorporate a superparamagnetic core of Fe3O4, with a magnetization value of 75.0 emu g−1 [19], onto which organic content is coated. Among the grafting agents that have been affixed to MNPs and investigated in FO processes are 2-pyrrolidine, triethylene glycol, and poly(acrylic acid) [20]; dextran [21]; poly(ethylene glycol) diacid [22]; poly(sodium acrylate) [23, 24, 25]; poly(sodium styrene-4-sulfonate) and poly(N–isopropylacrylamide) [26]; citrate [27]; hyperbranched polyglycerol [28]; and, citric acid and oxalic acid [19]. A primary advantage of using MNPs is their ease of recyclability through magnetic separation, although particle aggregation has been shown to diminish FO water flux values after multiple regeneration cycles [10]. Another benefit of derivatized MNPs is that they have been shown to provide higher osmotic pressures when compared to solutions of the organic grafting agents alone [20], an enhancement attributable to increased solution nonideality.
\nA solution behaves ideally when: (1) solute/solute, solvent/solvent, and solvent/solute interactions are identical and (2) all solute and solvent molecules occupy the same volume. Real solutions deviate from ideality due to an energetic nonequivalence in one or more of these interactions and/or volume occupancies are not identical. In aqueous solution, water molecules exhibit particularly strong hydrogen bonding with various organic functional groups, carboxylate moieties in particular [29]. Factors such as hydration, ion-pairing, and dimerization can be significant contributors to thermodynamic nonideality [30] and can dramatically impact the osmotic performance of FO draw solutions.
\nA variety of models have been developed to explain the interesting osmotic behavior of concentrated solutions of proteins and other biological molecules [31, 32, 33, 34]. The nonideal solution behavior of large biological molecules can lead to extreme changes in osmotic pressure. As an example, at a fixed protein concentration, the osmotic pressures of bovine serum albumin (BSA) solutions display greater than fivefold changes in the range 3 < pH < 8 [32]. Such nonideality is generally attributable to variations in solvent-accessible surface area and polymeric segmental motion [35]. Models that adequately describe nonideal behavior in BSA and other polymer solutions provide a basis for explaining the unique osmotic properties of MNPs used in FO.
\nIn order to function effectively as a draw agent in FO, the osmotic pressure of the draw solution must far exceed that of the feed solution. In terms of desalination, the draw must have an osmotic pressure significantly in excess of 7.7 atm in the case of a brackish feed, and in excess of 27 atm in the case of a seawater feed [4]. Because of their abilities to achieve high osmotic pressures while maintaining low solution viscosities, simple inorganic salts remain the most widely used draw agents. In addition, small ions tend to have greater diffusivity values thus moderating the effect of concentrative ICP. The strong affinity of small inorganic ions for water is revealed in their highly exothermic enthalpies of hydration [36]. This strong affiliation serves to significantly lower the chemical potential of water in draw solutions. Strong solvent/solute interactions provide high solution osmotic pressures while paradoxically making the regeneration of draw solute more difficult. Resolving this paradox has spurn interest in the development of easily removable draw agents that allow for regeneration through exploitation of solute size, thermal sensitivity, or magnetic properties. Of course, to be effective in FO processes these solutes must still provide appreciable osmotic pressure. Interestingly, structural features of various macromolecular species and molecular aggregates that allow for easy removal from aqueous solution can also serve to enhance osmotic pressure through nonideal solvent/solute interactions.
\nThe effects of osmotic pressure, solution viscosity, and molecular/ionic diffusivity on water flux (\n
where \n
Consider an FO process using a polymer solution as the osmotic agent. If a polymer solution is separated from pure water by a semipermeable membrane the movement of water through the barrier is explained in terms of the chemical potential of the water, \n
where \n
Osmotic behavior of an aqueous polymer solution.
As Eq. (2) implies, it is reasonable to differentiate \n
The definitions of Gibbs free energy and chemical potential are given by Eqs. (4) and (5), respectively,
\nwhere \n
Eq. (6) reveals that under conditions of constant temperature and solution composition, the derivative of Gibbs free energy with respect to pressure is given by Eq. (7).
\nBy differentiating Eq. (5) with respect to pressure, while holding other variables constant, Eq. (8) is obtained.
\nSimilarly, by differentiating Eq. (7) with respect to amount of water Eq. (9) is obtained, in which \n
Because of the symmetry of second derivatives, meaning the order of differentiation is inconsequential, the partial molar volume of water is also given by Eq. (10).
\nNext, differentiation of an analogous form of Eq. (2) with respect to \n
Because \n
If there is no net flow of water in an apparatus like that depicted in Figure 1, \n
Substituting Eqs. (10) and (12) into Eq. (13) and then integrating provides Eq. (14).
\nAssuming the solution is incompressible (meaning that partial molar volume is independent of pressure) allows for simple integration providing Eq. (15).
\nFor dilute solutions (\n
which upon substitution into Eq. (15) provides the familiar van’t Hoff equation, Eq. (18).
\nDeviations of solution osmotic pressure data from Eq. (18) are generally attributable to nonideal solvent-solute and solute-solute interactions. One way of expressing the extent to which a solution deviates from ideality is through the osmotic coefficient, \n
The osmotic coefficient is analogous to the activity coefficient and can be defined in terms of other concentration units. It is often used in conjunction with \n
Alternatively, and in particularly for polymer solutions, solution osmotic pressure is often expressed as a power series expansion in \n
where \n
An empirical, semi-empirical, or theoretical methodology can then be used to relate \n
In terms of solute molality (\n
where \n
Wilson and Stewart [38] have provided a good discussion of how solution osmotic pressure is affected by the hydration of simple ionic compounds. The short range interactions between electron pairs in water molecules and cations lead to \n
Compound | \nMolarity | \n\n\n | \n\n\n | \n\n\n | \n\n\n | \n\n\n | \n
---|---|---|---|---|---|---|
NaCl | \n0.869 | \n3.9 | \n1.84 | \n0.968 | \n44 | \n3.38 × 10−6 | \n
KCl | \n0.943 | \n1.7 | \n1.85 | \n0.968 | \n44 | \n3.74 × 10−6 | \n
In terms of osmotic pressure and corresponding FO performance there are diminishing returns on using ever-higher concentrations of ionic compounds, especially when increased solution viscosity is also considered. While hydration numbers tend to increase with increasing cation charge density, they decrease with increasing concentration, owing in part to increased ion-pairing, effectively reducing \n
In their studies of BSA, Kanal et al. [32] observed that osmotic pressure decreases as solution pH increases from 3 to approximately 4.6 and then increases with pH. Increases in osmotic pressure on either side of the minimum are attributed to increased electrostatic repulsive interactions. At pH values below the isoelectric point (pIBSA = 5.4), the protein adopts a net positive charge along its surface. At pH values above pIBSA, it is net negative. Electrostatic repulsion leads to a less compact protein conformation, greater segmental motion, more effective hydration, and higher osmotic pressures. Near the isoelectric point, the net-neutral protein strands adopt a more compact configuration, are less hydrated, and even tend to aggregate due to reduced intermolecular repulsion. The osmotic nonideality of BSA solutions is generally attributable to two sources: (1) large solvent/solute interactions that effectively increase polymer hydration (\n
The hydration of PEG of molecular weight 2000 Da (PEG2000), both unattached and attached to distearoyl phosphoethanolamine liposomes ((DSEP)-PEG2000), was investigated by Tirosh et al. [43]. Using differential scanning calorimetry, PEG2000 was found to bind 136 ± 4 water molecules, while (DSEP)-PEG2000 binds 210 ± 6 water molecules. In terms of hydration number per monomeric unit (approximately 46 units in 2000 Da PEG), these binding values correspond to hydration numbers of 3.0 and 4.6 for PEG2000 and (DSEP)-PEG2000, respectively. The increase in water molecule binding is attributed to conformational changes, a coil configuration in PEG2000 and a brush configuration in (DSEP)-PEG2000. When grafted to the liposome surface, the close proximity of the polymeric strands causes them to repel each other and to adopt a more extended, easily hydrated, form. Such behavior has been exploited in the development of draw agents that incorporate superparamagnetic magnetite (Fe3O4) onto which polymers were grafted [19, 20, 21, 22, 23, 24, 25, 26, 27, 28].
\nA summary of some recent applications of derivatized MNPs as draw agents in FO processes is provided in Table 2, which includes approximate concentrations of the repeating (monomeric) units used as capping agents on the MNPs. Other researchers have demonstrated that the osmotic properties of aqueous polymer solutions are perhaps best interpreted in terms of monomer concentration [31, 45].
\nCoating agent | \nSize (nm) | \n[Monomer] (M) | \n\n\n | \n\n\n | \nRef. | \n
---|---|---|---|---|---|
2-Pyrrolidine TREG PAA1800 | \n28 24 21 | \n0.15 0.20 1.0 | \n4.6 5.8 7.6 | \n17 23 36 | \n[20] | \n
Dextran | \n10 | \n11 | \n8.9 | \nN/A | \n[21] | \n
PEG250-(COOH)2 PEG600-(COOH)2 PEG4000-(COOH)2 | \n11.7 13.5 17.5 | \n0.37 0.88 5.9 | \nN/A 9.1 N/A | \n73 66 55 | \n[22] | \n
PAA1800 | \n5 | \n1.5 | \n11.2 | \n70 | \n[46] | \n
PAA1800 PNaAA1800 PCaAA1800 | \n20 20 20 | \nN/A N/A N/A | \nN/A 2.1 1.8 | \n18 32 27 | \n[23] | \n
PNaSS-PNIPAM | \n5 9 | \n2.3 2.5 | \n14.9 9.9 | \n55.0 40.8 | \n[26] | \n
Citrate | \n3–8 | \n0.015 | \n16 | \nN/A | \n[27] | \n
HPG | \n20.9 | \n2.1 | \n6.7 | \n15 | \n[28] | \n
PNaAA2100 | \n9 | \n0.0083 | \n5.3 | \n11.4 | \n[24] | \n
Citric acid Oxalic acid | \n40 35 | \n0.52 0.84 | \n12.7 10.3 | \n64 47 | \n[19] | \n
PNaAA | \n160 | \n12.4 | \nN/A | \n19.5 | \n[25] | \n
Si-COOH Si-PEG530 | \n12.7 13.6 | \n0.046 0.43 | \n1.7 2.0 | \n6.3 7.6 | \n[47] | \n
Summary of MNP-based draw agents used in FO processes.
Abbreviations: TREG: triethylene glycol; PAA: poly(acrylic acid); PEG-(COOH)2: poly(ethylene glycol) diacid; PNaAA: poly(sodium acrylate); PCaAA: poly(calcium acrylate); PNaSS-PNIPAM: poly(sodium styrene-4-sulfonate) and poly(N-isopropylacrylamide) [15% PNaSS, 85% PNIPAM]; HPG: hyperbranched polyglycerol; Si-COOH: N-(trinethoxysilylpropyl)ethylenediamine triacetic acid; Si-PEG: 2-[methoxy- (polyethyleneoxy)propyl]trimethoxysilane. Superscripts represent the average molecular weights of polymeric stands.
Some investigators have studied the FO properties of osmotic agents that are both alone in aqueous solution and grafted onto MNPs [20, 24]. Ling et al. [20] compared 2-pyrrolidine, TREG, and PAA as draw solutes. When grafted onto MNPs, 2-pyrrolidine exhibited a near sixfold increase in osmolality when compared to the ungrafted solute. TREG and PAA exhibited approximately threefold and thirtyfold increases in osmolalities, respectively, at similar concentrations when grafted onto MNPs. Dey and Izake [24] found that 3.5 wt.% PNaAA provided a FO-water flux value of 1.72 LMH while only 0.078 wt.% PNaAA grafted onto MNPs provided a flux value of 5.32 LMH. These results indicate that anchoring polymers onto nanoparticles serves to significantly improve their osmotic performance.
\nThe tremendous enhancement to osmotic pressure and water flux values associated with polymeric solutes anchored to MNPs can be attributed to improved hydration of the polymeric strands. The dense packing of polymer chains around MNPs leads to a more extended, brush-like, conformation due to excluded volume interactions [48, 49]. In addition, Ling et al. [20] ascribe a reduced interaction between PAA-MNPs and the FO-membrane surface as also contributing to the improved performance; carboxyl groups interacting with ester moieties on the membrane surface are not interacting with water and thereby reducing its chemical potential.
\nWhile \n
where \n
where \n
Figure 2 depicts the application of Eq. (25) to data for TREG [20, 31, 52] both alone in solution and grafted to MNPs. The ungrafted TREG molecules display little deviation from ideality, with a relatively small \n
Nonideality analyses for TREG, using data from [
The application of Eq. (25) to data for which 2-[methoxy-(polyethyleneoxy)6–9propyl] trimethoxysilane (MW: 459–591 g mol−1) was used as the grafting agent [47] is provided in Figure 3. When compared to TREG data, the greater number of monomers per polymeric strand results in a smaller \n
Nonideality analyses for TREG and Si-PEG530, using data from [
In Figure 4, data for MNPs coated with PAA [20] and HPG [28] are depicted. These results again demonstrate the significant nonideal solution behavior of derivatized MNPs. The large \n
Nonideality analyses for HPG and PAA1800, using data from [
Osmotic agent | \n\n\n | \n\n\n | \nRef. | \n
---|---|---|---|
TREG–alone | \n0.37 | \n153 | \n[20, 31, 52] | \n
TREG–MNP | \n19.3 | \n56.1 | \n[20] | \n
Si-PEG530–MNP | \n5.8 | \n101 | \n[47] | \n
PAA1800–MNP | \n4.2 | \n111 | \n[46] | \n
HPG–MNP | \n2.2 | \n433 | \n[28] | \n
Summary of \n
Another significant contributing factor to the osmotic potential of draw solutions incorporating polyelectrolytes is counterion binding. Oosawa was among the first to introduce the concept of counterion condensation around a polyion [53]. His model considers a fraction of counterions that is
Using this model, bound counterions would not contribute to osmotic pressure while unbound ions would. Polymeric structural features that influence the magnitude of \n
Data also indicate that MNP particle size influences their osmotic performance because smaller particles have a larger surface area per volume, thus allowing for more effective grafting-agent coverage and increased nonideality. Ling et al. [20] demonstrated the inverse relationship between nanoparticle size and osmolality using PAA-MNPs. However, Kim et al. [56] found that particles smaller than 11 nm were difficult to separate from solution even with the application of a strong magnetic field, while the removal of particles larger than about 20 nm from the magnetic separator column was problematic. Additionally, the larger the mass percentage of coating material on a Fe3O4 core, the lower the saturated magnetization value on a per gram of particle basis. More coating material likely imparts greater osmotic pressure, but it reduces the efficacy of separation. Another significant challenge associated with MNP draw agents is particle aggregation following magnetic separation.
\nGe et al. [22] observed a flux decline to approximately 80% of its original value after 9 recycles; this flux decline was accompanied by a particle size increase to 141% of the original value. That study used MNPs with an initial diameter <20 nm. Mino et al. [25] used much larger particles, with diameters of approximately 160 nm, and observed no aggregation even after 10 recycles, though the larger particles achieved only modest osmotic pressures. Park et al. [47] demonstrated that Si-PEG530-MNPs (diameterinitial = 13.6 nm) showed no significant aggregation or FO performance decline after 8 recycles, while Si-COOH-MNPs displayed considerable aggregation after only 5 recycles. Aggregation of the Si-COOH-MNPs was attributed to strong hydrogen bonding between carboxylate groups on adjacent particles when brought into close proximity during magnetic separation and subsequent drying. The oxalic acid- and citric acid-coated MNPs studied by Ge et al. [19] showed no significant particle agglomeration during regeneration, likely the result of strong electrostatic repulsion between particles. Zhao et al. [26] also observed only a slight decline in water flux (<10%) following recycles of their negatively charged PNaSS-PNIPAM-coated particles. In addition, Na et al. [27] demonstrated that small MNPs (3–8 nm) penetrate pores within the FO-membrane support layer (10–40 nm) and become lodged leading to a decline in flux values with time.
\nWhile it is now generally accepted that FO processes do not offer an overall energy cost savings when compared to RO for seawater desalination, the prospects of niche applications for FO where RO is unsuitable are numerous. A major challenge for the wider use of FO technology is the development of draw agents that provide high water flux, low reverse solute flux, and facile recovery. Organic-coated superparamagnetic nanoparticles provide properties that address these requirements. The FO performance of MNPs is a function of coating material, particle size, and concentration; with mitigation of particle aggregation during recovery being an essential consideration. The osmotic performance of organic compounds improves significantly when grafted onto MNPs, likely resulting from increased solvent-accessible surface area and enhanced hydration. Application of a simple semiempirical model provides assessments of the nonideality associated with MNPs through calculation of a solvent/solute interaction parameter (\n
Support for this work was provided by the Qatar Foundation and was made possible in part by a grant from the Qatar National Research Fund under its Undergraduate Research Experience Program award no. UREP13-018-1-001. Its contents are solely the responsibility of the authors and do not necessarily represent the official views of the Qatar National Research Fund.
\nDrought is a worldwide natural hazard and has a detrimental impact on society, the environment, and the economy [1]. Extreme hydrological events both high (flood) and low (drought) flow are of particular concern globally. Of these hydrological extremes, drought is the most complex and widespread [2]. It is one of the most common natural events that has devastating negative impacts on agriculture and water resources [3].
There is no universal definition for drought due to its complexity [4]. Therefore, meteorologists defined drought as a scarcity of precipitation [5, 6, 7, 8, 9, 10]; hydrologists have defined hydrological drought as scarcity of surface and subsurface water [5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15]; agriculturalists and agronomists defined agricultural drought as related to soil moisture deficiency [3, 16, 17] and sociologists and economists defined the overall welfare crisis of the society caused by drought to be socioeconomical drought [4, 18, 19, 20, 21]. These types of droughts have accumulating effects, thus meteorological drought results in losses, such as crop stress, predation by pests, and disease due to low moisture, to the agricultural systems while hydrological drought causes the shortage of water supply, decrease in reservoir water level and groundwater volume, lower irrigation and hydropower production [14]. The accumulation of meteorological and hydrological drought results in socioeconomical drought in which the overall ecosystem will be disturbed and human and animal lives will be negatively impacted and even lost [15].
Historically, Ethiopia has faced multiple seasonal drought events due to erratic rainfall and climate change [22]. The most drought-prone areas in Ethiopia are in Northeast Ethiopia and the Upper Blue Nile basin, including the Northern Tigray region, some parts of Amhara regions, such as South Wollo, North Wollo, South Gondar, and Afar Region, most parts of Somalia Region, and Eastern parts of Oromia Region [1, 3, 23, 24, 25, 26, 27]. Drought in Ethiopia occurs at a recurrence interval of 3–10 years [1], and even though this frequent recurrence is common, there still lacks any firmly established drought mitigation measure for these events. Only short-term response efforts are provided in the form of food aid when food supplies have decreased significantly due to extended drought.
Meteorological drought analysis has been studied frequently, yet hydrological and agricultural drought analysis and monitoring are not studied adequately. It is thought that Ethiopia is a water tower in East Africa but water resource management over the region is not well developed. This aggravates the natural hazard, such as drought impact on human life. Hydrological drought has a great influence on water supply irrigation and power production by reducing the availability of surface and subsurface water. There are few dams and reservoirs in the country and most of them are hydropower plants. But there is a lack of water conservation to reduce drought impact when it occurs. Generally, drought monitoring and forecasting studies are untouched and need a thorough investigation to alleviate socioeconomic problems related to drought.
The objective of this review chapter is to assess the status of hydrological drought studies in Ethiopia by reviewing different previously studied article papers related to drought. A total of 24 article papers was reviewed and the master plan of the eight-river basin was also reviewed. Of these, only two papers were related to hydrological drought and the remains were about meteorological and other drought-related topics. This implies that hydrological drought studies in Ethiopia require further analysis, monitoring, and forecasting investigation. Therefore, it is important to do this kind of review to show the gap of drought studies over the region for future researchers, stakeholders, and planners to develop a suitable early warning system.
Ethiopia has an ample amount of water resources when compared to other African countries yet the development is still poor. There are 12 major river basins in the country which generate an annual runoff of 123 BM3 (Table 1). From these, Aysha and Ogaden river basins are dry and the Mereb and Denakle have insignificant streamflow over the year, the border basins from North to East direction (Figure 1). Eight river basins have a well-organized master plan, however, only the three river basins (Abbay, Awash, and Tekeze) are popularly studied for the development of irrigation, water supply, and hydropower projects. Different types of drought studies were also relatively studied in these river basins. In the Wabishebele river basin, one hydrological drought analysis was studied by Awas [26]. Abbay and Awash basins have good hydrometeorological data and are highly invested when compared to other river basins. This review is focused on the assessment of hydrological drought analysis and the drought mitigation approach of previous research in Ethiopia, related to drought.
River basin | Area (km2) | Annual runoff (BM3) | Terminus |
---|---|---|---|
Abbay | 199,912 | 52.6 | Mediterranean |
Awash | 110,000 | 4.6 | Within the country |
Baro | 75,912 | 23.6 | Mediterranean |
Genale Dawa | 172,259 | 5.8 | Indian Ocean |
Omo Gibe | 79,000 | 17.9 | Lake Turkana |
Tekeze | 82,350 | 7.6 | Mediterranean |
Rift Valley | 52,000 | 5.6 | Chew Bahir |
Wabishebele | 202,220 | 4.6 | Indian Ocean |
Mereb | 5900 | 0.26 | Sudanese Wetland |
Denakle | 64,380 | 0.86 | Within the country |
Aysha | 2223 | 0 | |
Ogaden | 77,120 | 0 | |
Characteristics of Ethiopian major river basins.
Source: River Basin Master Plan; Ministry of Water, Irrigation and Electricity, Ethiopia.
Drought study information of Ethiopian river basins.
Seasonal variation of streamflow over Ethiopian river basins.
Spatially, the Abbay river basin is the largest and it covers 43.1% of the surface runoff of the country. The general characteristics of each river basin in the country are given in Table 1. In Ethiopia, there is a high seasonal flow and rainfall variation. As shown in Figures 2 and 3, Abbay and Omo gibe river basins have a high flow when compare to other river basins and overall the maximum flow is obtained during the summer season from June to August (JJA).
Ethiopia has 12 major river basins, most of which are transboundary rivers except the Awash river. The total surface water is estimated at 124 BM3 and the groundwater potential is estimated near 30 BM3 [28]. Up to 70% of the surface water is originated from the central and western highlands on the western sides of the Great Rift Valley flow to the west into the Nile river basin system that covers 39% of the landmass and the remaining 30% of surface water originated from eastern highlands flow into east that covers 61% of the landmass.
Mean monthly rainfall of eight river basins in Ethiopia.
Ethiopia is experienced severe drought problems for the last decades. According to Mohammed et al., the most drought years in North East Highlands of Ethiopia were 1984, 1987, 1988, 1992, 1993, 1999, 2003, 2004, 2007, and 2008 [1]. Bayissa et al. also found that 1984/85 and 2003/04 were the extreme drought years in the Upper Blue Nile basin in Ethiopia [29]. Based on EM-DAT, 2014, the most severe drought years in Ethiopia from 1900 to 2013 were 1965, 1969, 1973, 1983, 1987, 1989, 1997, 1998, 1999, 2003, 2005, 2008, 2009, and 2012 with an average recurrence interval of 4 years [30]. Generally, the year 1984 was a bad drought event in Ethiopia and it was globally known. Here, all the above-stated drought years were analyzed based on meteorological drought indicators, especially standardized precipitation index (SPI) and palm drought severity index (PDSI).
To review the status of hydrological drought conditions in Ethiopia, important data were collected from the Ministry of Water, Irrigation, and Electricity, department of Basin Development Authority. The river basin master plan was thoroughly reviewed and previous drought-related studies in Ethiopia were also assessed.
During this review, 24 articles and conference papers related to drought studies in Ethiopia were collected. From these, nine papers are meteorological drought studies, seven papers are general drought impact studies, and the remaining eight were agricultural, hydrological, and socioeconomic drought studies (Tables 2 and 3). Surprisingly, except for some general drought studies related to drought impact over the country, other drought studies were conducted in some specific parts of the country. Especially meteorological drought studies were highly focused on the Abbay river basin (Upper Blue Nile) and Awash river basin. Agricultural and socioeconomic drought studies slightly tried to see the overall drought conditions in Ethiopia. However, these are also not studied in-depth.
No. | Author | Title | Drought Category |
---|---|---|---|
1 | Philip et al. [22] | Attribution analysis of the Ethiopian drought of 2015 | General |
2 | Belayneh et al. [2] | Long-term SPI drought forecasting in the Awash river basin in Ethiopia using wavelet neural network and wavelet support vector regression models | Meteorological |
3 | Yimer et al. 2017 | Meteorological drought assessment in northeast highlands of Ethiopia | Meteorological |
4 | Araya and Leo Stroosnijder, 2011 | Assessing drought risk and irrigation need in northern Ethiopia | General |
5 | Enyew et al. [27] | Assessment of the impact of climate change on hydrological drought in Lake Tana catchment, Blue Nile basin, Ethiopia | Hydrological |
6 | Edosa et al., 2010 | Drought analysis in the Awash river basin, Ethiopia | Hydrometeorological |
7 | USAID Report, 2018 | Economics of resilience to drought; Ethiopia analysis | Socioeconomic |
8 | Philip et al. [22] | The drought in Ethiopia, 2015 | General |
9 | Jjemba et al. | Extreme drought in Ethiopia stretches drought management systems | Socioeconomic |
10 | Gebrehiwot et al. [24] | Spatial and temporal assessment of drought in the Northern highlands of Ethiopia | Meteorological |
11 | Bayissa et al. [17] | Comparison of the performance of six drought indices in characterizing historical drought for the Upper Blue Nile basin, Ethiopia | Meteorological |
12 | Awass [26] | Hydrological drought analysis occurrence, severity, risks: the case of Wabishebele river basin, Ethiopia | Hydrological |
13 | EL Kenawy et al., 2016 | Changes in the frequency and severity of meteorological drought over Ethiopia from 1960 to 2013 | Meteorological |
14 | Bayissa et al. [29] | Spatio-temporal assessment of meteorological drought under the influence of varying record length: the case of Upper Blue Nile basin, Ethiopia | Meteorological |
15 | Zeleke et al. [18] | Trend and periodicity of drought over Ethiopia | Meteorological |
16 | Teshome and Zhang [20] | Increase of extreme drought over Ethiopia under climate warming | General |
17 | Viste et al. [19] | Recent drought and precipitation tendencies in Ethiopia | General |
18 | Getachew et al., 2020 | Application of artificial neural networks in forecasting a standardized precipitation evapotranspiration index for the Upper Blue Nile basin | Meteorological |
19 | Getachew, 2018 | Drought and its impacts in Ethiopia | Socioeconomic |
20 | Temam et al., 2019 | Long-term drought trends in ethiopia with implications for dryland agriculture | Agricultural |
21 | Dawit et al., 2019 | Comparison of meteorological and agriculture-related drought indicators across Ethiopia | Meteorological and agricultural |
22 | Y.A. Bayissa et al., 2018 | Developing a satellite-based combined drought indicator to monitor agricultural drought: a case study for Ethiopia | Agricultural |
23 | IDA GRANT-H0280, 2011 | Emergency drought recovery project (EDRP) in Ethiopia | General |
24 | Sara Pantuliano and Mike Wekesa, 2008 | Improving drought response in pastoral areas of Ethiopia | General |
Summary of selected literature related to drought studies in Ethiopia for this review.
N0. | Basin | Article related to meteorological drought | Articles related to hydrological drought |
---|---|---|---|
1 | Abbay | 3 | 1 |
2 | Awash | 2 | |
3 | Omo-Gibe | 1 | |
4 | Rift Valley | 1 | |
5 | Tekeze | 2 | |
6 | Wabishebele | 1 |
Different types of drought studies status in each river basin.
Agricultural and socioeconomic drought studies were not focused on a particular river basin. Total 13 articles, including agricultural, socioeconomic, and general concepts, and drought impacts in Ethiopia were covered in some parts of the country without specifying a particular river basin.
Ethiopia has been affected by drought many times over the last few centuries. However, drought studies and mitigation measurement investigation are still limited. Although there are few drought studies in the country; it is insufficient. Especially agricultural, hydrological and socioeconomic drought studies are untouched. As shown in Table 4 and Figure 4, most drought studies in Ethiopia are focused on meteorological drought and other general drought-related impact assessments. Meteorological drought is highly varying within the short-period scale in a month depending on the precipitation variability. Therefore, drought analysis from a short-time scale may lead to an erroneous conclusion. But hydrological drought study requires a long-term time scale greater than 6-month cumulative drought conditions of the study area. Mostly hydrological drought analysis is conducted annually based on and above, which will give some concrete information about the drought situation of a particular study area. From this review, hydrological drought studies were covered only 8.33%, which implies that it needs further study (one article in Abbay subbasin and one article from Wabishebele basin). Almost 78% of the study were concentrated in North Eastern and Upper Blue Nile basin, Tekeze and Abbay, and Awash river basin and which is meteorological drought (Table 3). Two researchers have been studied, hydrological drought in Abbay and Wabishebele basins (Table 3). But the remaining six basins are still not studied. Now the government of Ethiopia is planning to transform from agricultural lead to industrial transformation. This will have achieved when the natural resource will be properly managed and utilized. Water is the central part of all infrastructures development. However, the master plan of major river basins in Ethiopia focused only on the potential assessment of irrigation and hydropower, and there is no drought trend analysis and future hydrological drought forecasting. Hydrological drought affects irrigation, water supply, hydropower, and other water-related sectors. So, it is important to study the historical hydrological drought characteristics, such as frequency, magnitude, duration, severity, and future probability of the basin streamflow to satisfy all demands.
Type of drought | Number of studies | Percentage (%) |
---|---|---|
Meteorological drought | 9 | 37.5 |
Hydrological drought | 2 | 8.33 |
Agricultural drought | 3 | 12.5 |
Socioeconomic drought | 3 | 12.5 |
General related to drought impact | 7 | 29.16 |
Total articles reviewed | 24 | 100 |
Types of drought studies over Ethiopia.
Percentage of drought studies in Ethiopia (MD = meteorological drought, HD = hydrological drought, AD = agricultural drought, SED = socioeconomical drought, and GD = general drought-related studies).
As far as reviewed from the basins master plan report and previous pieces of literature, there is no method adopted to analyze the hydrological drought in the region. But for sustainable water resource development, mitigation measurements of the extreme hydrological events, such as floods and drought, are impropriated. Otherwise, simply constructing any structure in the basin alone may not be a solution to improve poverty over the country.
From the reviewed papers, 37.5% was covered meteorological drought analysis and monitoring studies, and agricultural drought studies were covered 12.5% (Table 4). Ethiopia is highly dependent on rainfed agriculture; so, meteorological and agricultural drought analysis, monitoring, and early warning system development are crucial. But still, there is no well-adopted drought analysis technique for a nationwide or a regional level. As a result, the development of drought early warning system has lacked. At the same time, hydrological drought analysis and monitoring is also key point for river basin development and water resource management. But due to its large input data requirement, hydrological drought study is not further investigated.
The socioeconomic of Ethiopia is continuously affected by frequent drought disasters. It is difficult to cope with subsequent years after drought has occurred. Up to 29.16% of the reviewed papers were related to drought impact, attribution, economics resilience to drought, extreme drought assessment, trend, and periodicity of drought in Ethiopia [4, 18, 19, 20]. Except for some articles, most of the reviewed articles were conducted in some parts of the country and did not give good information about the effect of drought in the country.
During any river basin master planning, considering extreme hydrological events, such as floods and drought, are the important issues for sustainable water resource development. Otherwise, simply focusing on the investigation and assessment of the available natural resources in a specific river basin and utilization of the resource will never bring development. Particular attention is to be given to drought-affected areas and conjunctive use of ground and surface water is encouraged. Aridity is the general characteristic of an arid climate and represents a (relatively) permanent condition, while drought is temporary. In an arid climate, drought can still occur when local conditions are even drier than normal. But 90% of the reviewed studies in Ethiopia were conducted on arid and semiarid areas of the region. Generally, hydrological drought study lacked in the country. Therefore, in the future, it is important to focus on hydrological drought monitoring and forecasting to achieve the sustainable utilization of available water resources in Ethiopia.
All the river basin master plan documents were freely accessed from the Ministry of Water, Irrigation, and Electricity of Ethiopia. Therefore, great gratitude is given to all the staff members of the ministry, especially for Basin Development Authority Department.
We declared that we have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this chapter.